"Research papers and studies on artificial intelligence" matching MCP servers:

Enables creators to connect their social channels so AI assistants can read their published Instagram, TikTok, YouTube, LinkedIn and Threads history, including posts, metrics, transcripts, comments and audience data, then use bundled skills to plan next posts, research creators, maintain brand docs, manage product catalogues and find outreach targets.

Read-only X/Twitter research MCP server allowing AI assistants to search viral content, analyze accounts, track trends, and discover niche leaders without requiring the official X API.

Enables local research of public Instagram Reels through a dashboard, CLI, and 22 MCP tools, with optional Codex or Claude Code analysis.

Enables authenticated MCP clients to research public YouTube channels and videos, read owner-authorized analytics reports, and draft, version and locally export original production blueprints. It runs locally with Docker Compose and PostgreSQL, providing eighteen tools with provenance, quota accounting, and governed analytics that return blocked responses when data or permission is missing.

Enables AI agents to perform zero-quota competitor research, outlier detection, niche and viral content discovery, on-screen video OCR, and private channel analytics via OAuth.

23 research tools for AI agents: web search, social media, academic papers, SEC filings, citation verification, reliability scoring. Pay-per-call from $0.01.

Enables AI agents to read public Instagram Reels without logging in, returning details, on-device timestamped speech-to-text transcripts, real video frames, preview comments, and Reel links harvested from web pages.

Enables AI agents to perform read-only Reddit research, including discovering relevant subreddits, ranking threads by real discussion volume, and returning verbatim quotes with permalinks.

Read-only MCP server for Reddit. Searches and analyzes Reddit content without writing, ensuring all posts are done manually via the Reddit UI.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

Enables LinkedIn profile research, post analysis, business signal detection, ICP prospect matching, and sales opportunity discovery through natural language.

MCP server for compact Reddit research packs. Enables Reddit data extraction, search, and trend analysis through a set of tools like reddit_search and reddit_thread.

Provides social intelligence tools for AI agents to analyze competitor sentiment, trends, and brand mentions from X/Twitter data.

Fetches content data from YouTube, TikTok, Twitter, LinkedIn, articles, and PDFs so LLM clients can analyze content performance and generate insights.

A read-only MCP server that lets ChatGPT use Grok's x_search to retrieve and analyze posts and threads from specified X accounts, returning Chinese research reports with source links.

Enables MCP clients to search and read Reddit content—posts, comments, communities, wikis, and user activity—without posting or needing API keys. Supports full thread expansion, subreddit discovery, NSFW filtering, and compact outputs with rate-limit handling.

MCP server for researching community discussions, with a focus on Reddit. It enables searching Reddit posts and reading threads/comments, providing structured JSON output for LLM consumption.

Enables ChatGPT to retrieve public X posts, including text, author details, public metrics, and media metadata, through an authenticated MCP connection with structured diagnostics for retrieval failures.

Enables read-only research on public X data through tools for posts, threads, profiles, search, trends, collections, and saved-result analysis using free public APIs and optional sessions.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Connects Claude Desktop to LinkedIn's data layer for AI-powered networking, enabling profile research, content creation and scheduling, engagement automation, analytics tracking, and messaging through natural language.

Extracts LinkedIn saved posts into a structured research index using Chrome DevTools Protocol.

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables exporting public GitHub followers and following lists as flat rows with profile details and completeness reports via an Apify actor. It accepts usernames or profile URLs and supports follower, following, or both lists with configurable result limits.

Enables users to retrieve flat rows for public YouTube videos and channels from channel, playlist, and search sources, including titles, views, dates, lengths, subscriber counts, links, and source-read reports via Apify.

Enables keyword or post-address collection of public posts and their comments from Bluesky, Hacker News, Mastodon, Lemmy, Reddit, and YouTube, returning unified rows in a single layout. Runs the Apify actor, waits for completion, and hands back the dataset rows along with per-query platform status.

Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.

Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.

Perplexity for social: ask what competitors are running across social and get answers grounded in real ad and creative data, not guesses.

Provides social media functionality for AI agents, enabling them to login with unique handles, read filtered posts, and create posts or replies within team-based discussions.